<h2>DESCRIPTION</h2>

<em>i.eb.hsebal01</em> will calculate the sensible heat flux map (h0), given
both maps of Net Radiation and soil Heat flux (Rn, g0) at instantaneous time,
the surface roughness (z0m), a map of the altitude corrected temperature
(t0dem), a point data of the frictional velocity (u*), a value of actual vapour
pressure (ea[KPa]) and the (x,y) pairs for wet and dry pixels.

Full process will need those:
<ul>
  <li><em>i.vi</em>, <em>i.albedo</em>, <em>r.latlong</em>, <em>i.emissivity</em>
  <li><em>i.evapo.potrad</em> (GRASS Addon)
  <li><em>i.eb.netrad</em>, <em>i.eb.soilheatflux</em>, <em>i.eb.hsebal01</em>
  <li><em>i.eb.evapfr</em>, <em>i.eb.eta</em>
</ul>

(for time integration: <em>i.evapo.time_integration</em>) <!-- TODO unknown module -->

<p>
<em>i.eb.hsebal01</em> performs the computation of <i>sensible heat flux</i>
[W/m2] after Bastiaanssen, 1995 in [1], used in this form in 2001 by [2]. Implemented
in this code in [3].

<h2>NOTES</h2>
<ul>
<li> z0m can be alculated by <em>i.eb.z0m</em> or <em>i.eb.z0m0</em> (GRASS Addons).
<li> ea can be calculated with standard meteorological data.<br>
	eoTmin=0.6108*EXP(17.27*Tmin/(Tmin+237.3))<br>
	eoTmax=0.6108*EXP(17.27*Tmax/(Tmax+237.3))<br>
	ea=(RH/100)/((eoTmin+eoTmax)/2)
<li> t0dem = surface temperature + (altitude * 0.627 / 100)
</ul>


<h2>SEE ALSO</h2>

<em>
<a href="i.eb.soilheatflux.html">i.eb.soilheatflux</a>,
<a href="i.eb.evapfr.html">i.eb.evapfr</a>
</em>

<h2>REFERENCES</h2>

<p>[1] Bastiaanssen, W.G.M., 1995.
  Estimation of Land surface parameters by remote sensing under clear-sky
conditions. PhD thesis, Wageningen University, Wageningen, The Netherlands.
(<a href="http://edepot.wur.nl/206553">PDF</a>)

<p>[2] Chemin Y., Alexandridis T.A., 2001. Improving spatial resolution of ET
seasonal for irrigated rice in Zhanghe, China. Asian Journal of
Geoinformatics. 5(1):3-11,2004. 

<p>[3] Alexandridis T.K., Cherif I., Chemin Y., Silleos N.G., Stavrinos E.,
Zalidis G.C. Integrated methodology for estimating water use in Mediterranean
agricultural areas. Remote Sensing. 2009, 1, 445-465. 
(<a href="http://www.mdpi.com/2072-4292/1/3/445">PDF</a>)

<p>[4] Chemin, Y., 2012. 
A Distributed Benchmarking Framework for Actual ET Models, 
in: Irmak, A. (Ed.), Evapotranspiration - Remote Sensing and Modeling. InTech.
(<a href="http://www.intechopen.com/books/evapotranspiration-remote-sensing-and-modeling/a-distributed-benchmarking-framework-for-actual-et-models">PDF</a>)

<h2>AUTHORS</h2>

Yann Chemin, International Rice Research Institute, Los Banos, The
Philippines.

<p>Contact: <a href="mailto:yann.chemin@gmail.com">Yann Chemin</a>


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